| Very simple classification rules perform well on most commonly used datasets RC Holte Machine learning 11, 63-90, 1993 | 2834 | 1993 |
| Machine learning for the detection of oil spills in satellite radar images M Kubat, RC Holte, S Matwin Machine learning 30, 195-215, 1998 | 1804 | 1998 |
| C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling C Drummond, RC Holte Workshop on learning from imbalanced datasets II 11 (1–8), 2003 | 1546 | 2003 |
| Concept Learning and the Problem of Small Disjuncts. RC Holte, L Acker, BW Porter IJCAI 89, 813-818, 1989 | 611 | 1989 |
| Concept learning and heuristic classification in weak-theory domains BW Porter, R Bareiss, RC Holte Artificial intelligence 45 (1-2), 229-263, 1990 | 449 | 1990 |
| Learning when negative examples abound M Kubat, R Holte, S Matwin Machine Learning: ECML-97: 9th European Conference on Machine Learning …, 1997 | 418 | 1997 |
| Cost curves: An improved method for visualizing classifier performance C Drummond, RC Holte Machine learning 65, 95-130, 2006 | 410 | 2006 |
| Approximating game-theoretic optimal strategies for full-scale poker D Billings, N Burch, A Davidson, R Holte, J Schaeffer, T Schauenberg, ... IJCAI 3, 661, 2003 | 365 | 2003 |
| Exploiting the cost (in) sensitivity of decision tree splitting criteria C Drummond, RC Holte ICML 1 (1), 2000 | 313 | 2000 |
| Explicitly representing expected cost: An alternative to ROC representation C Drummond, RC Holte Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 286 | 2000 |
| Hierarchical A*: Searching abstraction hierarchies efficiently RC Holte, MB Perez, RM Zimmer, AJ MacDonald AAAI/IAAI, Vol. 1, 530-535, 1996 | 256 | 1996 |
| The pinwheel: A real-time scheduling problem R Holte, A Mok, L Rosier, I Tulchinsky, D Varvel Proceedings of the 22nd Hawaii International Conference of System Science …, 1989 | 230 | 1989 |
| Enhanced partial expansion A M Goldenberg, A Felner, R Stern, G Sharon, N Sturtevant, RC Holte, ... Journal of Artificial Intelligence Research 50, 141-187, 2014 | 197 | 2014 |
| Theory and applications of agnostic PAC-learning with small decision trees P Auer, RC Holte, W Maass Machine Learning Proceedings 1995, 21-29, 1995 | 179 | 1995 |
| Speeding up problem solving by abstraction: A graph oriented approach RC Holte, T Mkadmi, RM Zimmer, AJ MacDonald Artificial Intelligence 85 (1-2), 321-361, 1996 | 175 | 1996 |
| Learning heuristic functions for large state spaces SJ Arfaee, S Zilles, RC Holte Artificial Intelligence 175 (16-17), 2075-2098, 2011 | 133 | 2011 |
| The exponentiated subgradient algorithm for heuristic boolean programming D Schuurmans, F Southey, RC Holte IJCAI, 334-341, 2001 | 127 | 2001 |
| Game-tree search with adaptation in stochastic imperfect-information games D Billings, A Davidson, T Schauenberg, N Burch, M Bowling, R Holte, ... Computers and Games: 4th International Conference, CG 2004, Ramat-Gan …, 2006 | 121 | 2006 |
| Models of cooperative teaching and learning. S Zilles, S Lange, R Holte, M Zinkevich, N Cesa-Bianchi Journal of Machine Learning Research 12 (2), 2011 | 119 | 2011 |
| Fringe Search: Beating A* at Pathfinding on Game Maps. Y Björnsson, M Enzenberger, RC Holte, J Schaeffer CIG 5, 125-132, 2005 | 110 | 2005 |
Sandra ZillesProfessor, Computer Science, University of ReginaVerified email at cs.uregina.ca
